Code for the Paper "Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers"

Dataset for classification, detection and prognostics of surface defects on ball screw drives

Maybe the 1st tool wear forecasting by DL

This repository contains resources that were used for tool wear monitoring.

The relevant codes and more comparison results of "Physics-informed deep learning for tool wear monitoring".

This is the original dataset that we use in our research work, but it may difficult to find in the original link.

Awesome things about domain generalization, including papers, code, etc.

A Collection of Datasets Suitable for Domain Generalization

A comprehensive gear eccentricity dataset with multiple fault severity levels: Description, characteristics analysis, and fault diagnosis applications

This repository has open-sourced a dataset of motor failure, including vibration signals and audio signals.(实验室自采多模态电机故障数据，振动信号+声音信号)

Official PyTorch Implementation of GNDAN (TNNLS'22)

Codes for the paper "GNDAN: Graph Navigated Dual Attention Network for Zero-shot Learning" accepted to TNNLS, 2022

我的青春不迷茫-基于LLM与回归分析算法的大学生智能生涯指导与学习大平台 软件系统项目源代码。该项目已参加2023年第16届中国大学生计算机设计大赛4C2023。（可用于毕业设计、课程设计等） Source code tree of Intelligent Learning Platform Software System Based on LLM & Regression Analysis…

[AI LLM + Medicine and Healthcare] Minh Khoe Tue Y Smart Healthcare System【人工智能大模型与医疗保健毕业设计项目】明康慧医(MKTY)智慧医疗系统）

Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond

Democratize access to data, decentralize Artificial intelligence and enhance user privacy with Federated learning and Blockchain.

[RESS 2022] Adaptive open set domain generalization network: Learning to diagnose unknown faults under unknown working conditions

Code for paper 'Unsupervised Contrastive Learning Based Single Domain Generalization Method for Intelligent Bearing Fault Diagnosis'

Dual Adversarial and Contrastive Network for Single-Source Domain Generalization in Fault Diagnosis

[IEEE TII] Balancing Discrepancy and Consistency: Adversarial Single Domain Generalization in Fault Diagnosis

[AEI 2024] Imbalanced domain generalization via Semantic-Discriminative augmentation for intelligent fault diagnosis

Conditional Contrastive Domain Generalization For Fault Diagnosis

Pytorch implementation of the paper: "Conditional Adversarial Domain Generalization With a Single Discriminator for Bearing Fault Diagnosis"

This is an open source lib called "DGFDBenchmark" for domain-generalization-based fault diagnosis